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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="preprocessor">#ifndef CAFFE_SPP_LAYER_HPP_</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="preprocessor">#define CAFFE_SPP_LAYER_HPP_</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;</div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;caffe/blob.hpp&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;caffe/layer.hpp&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &quot;caffe/proto/caffe.pb.h&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecaffe.html">caffe</a> {</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Dtype&gt;</div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html">   19</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcaffe_1_1SPPLayer.html">SPPLayer</a> : <span class="keyword">public</span> <a class="code" href="classcaffe_1_1Layer.html">Layer</a>&lt;Dtype&gt; {</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;  <span class="keyword">explicit</span> <a class="code" href="classcaffe_1_1SPPLayer.html">SPPLayer</a>(<span class="keyword">const</span> LayerParameter&amp; param)</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;      : <a class="code" href="classcaffe_1_1Layer.html">Layer&lt;Dtype&gt;</a>(param) {}</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classcaffe_1_1SPPLayer.html#a7241f9c4dfba841bc76a93298a3d28ee">LayerSetUp</a>(<span class="keyword">const</span> vector&lt;<a class="code" href="classcaffe_1_1Blob.html">Blob&lt;Dtype&gt;</a>*&gt;&amp; bottom,</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;      <span class="keyword">const</span> vector&lt;<a class="code" href="classcaffe_1_1Blob.html">Blob&lt;Dtype&gt;</a>*&gt;&amp; top);</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classcaffe_1_1SPPLayer.html#a3ba65e459c1bde4f772d545efb43a2f2">Reshape</a>(<span class="keyword">const</span> vector&lt;<a class="code" href="classcaffe_1_1Blob.html">Blob&lt;Dtype&gt;</a>*&gt;&amp; bottom,</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;      <span class="keyword">const</span> vector&lt;<a class="code" href="classcaffe_1_1Blob.html">Blob&lt;Dtype&gt;</a>*&gt;&amp; top);</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#aafd1daca2ac42380582cad761bc6d57b">   28</a></span>&#160;  <span class="keyword">virtual</span> <span class="keyword">inline</span> <span class="keyword">const</span> <span class="keywordtype">char</span>* <a class="code" href="classcaffe_1_1SPPLayer.html#aafd1daca2ac42380582cad761bc6d57b">type</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;SPP&quot;</span>; }</div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a0fcc7996823cba1a468e82b3f9058ff0">   29</a></span>&#160;  <span class="keyword">virtual</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classcaffe_1_1SPPLayer.html#a0fcc7996823cba1a468e82b3f9058ff0">ExactNumBottomBlobs</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> 1; }</div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a345f640e6c1d3e9ee929d706b68300e9">   30</a></span>&#160;  <span class="keyword">virtual</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classcaffe_1_1SPPLayer.html#a345f640e6c1d3e9ee929d706b68300e9">ExactNumTopBlobs</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> 1; }</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160; <span class="keyword">protected</span>:</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classcaffe_1_1SPPLayer.html#a8012e099ec860c310a3b9e64c365b872">Forward_cpu</a>(<span class="keyword">const</span> vector&lt;<a class="code" href="classcaffe_1_1Blob.html">Blob&lt;Dtype&gt;</a>*&gt;&amp; bottom,</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;      <span class="keyword">const</span> vector&lt;<a class="code" href="classcaffe_1_1Blob.html">Blob&lt;Dtype&gt;</a>*&gt;&amp; top);</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classcaffe_1_1SPPLayer.html#a0ad4bf01671eec91fc6fa9732f721555">Backward_cpu</a>(<span class="keyword">const</span> vector&lt;<a class="code" href="classcaffe_1_1Blob.html">Blob&lt;Dtype&gt;</a>*&gt;&amp; top,</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;      <span class="keyword">const</span> vector&lt;bool&gt;&amp; propagate_down, <span class="keyword">const</span> vector&lt;<a class="code" href="classcaffe_1_1Blob.html">Blob&lt;Dtype&gt;</a>*&gt;&amp; bottom);</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;  <span class="comment">// calculates the kernel and stride dimensions for the pooling layer,</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;  <span class="comment">// returns a correctly configured LayerParameter for a PoolingLayer</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;  <span class="keyword">virtual</span> LayerParameter GetPoolingParam(<span class="keyword">const</span> <span class="keywordtype">int</span> pyramid_level,</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;      <span class="keyword">const</span> <span class="keywordtype">int</span> bottom_h, <span class="keyword">const</span> <span class="keywordtype">int</span> bottom_w, <span class="keyword">const</span> SPPParameter spp_param);</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;  <span class="keywordtype">int</span> pyramid_height_;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;  <span class="keywordtype">int</span> bottom_h_, bottom_w_;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;  <span class="keywordtype">int</span> num_;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;  <span class="keywordtype">int</span> channels_;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  <span class="keywordtype">int</span> kernel_h_, kernel_w_;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  <span class="keywordtype">int</span> pad_h_, pad_w_;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  <span class="keywordtype">bool</span> reshaped_first_time_;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a9312cb2eb190ce25d9269d9319cf5e4b">   51</a></span>&#160;  shared_ptr&lt;SplitLayer&lt;Dtype&gt; &gt; <a class="code" href="classcaffe_1_1SPPLayer.html#a9312cb2eb190ce25d9269d9319cf5e4b">split_layer_</a>;</div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#aa4c2a009d84367e72b98b3b8542e3a0f">   53</a></span>&#160;  vector&lt;Blob&lt;Dtype&gt;*&gt; <a class="code" href="classcaffe_1_1SPPLayer.html#aa4c2a009d84367e72b98b3b8542e3a0f">split_top_vec_</a>;</div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a2c9e8e5e918431ccc43e8578419357c9">   55</a></span>&#160;  vector&lt;vector&lt;Blob&lt;Dtype&gt;*&gt;*&gt; <a class="code" href="classcaffe_1_1SPPLayer.html#a2c9e8e5e918431ccc43e8578419357c9">pooling_bottom_vecs_</a>;</div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a4cde4ff418007bcbdd34f91c6abbea1f">   57</a></span>&#160;  vector&lt;shared_ptr&lt;PoolingLayer&lt;Dtype&gt; &gt; &gt; <a class="code" href="classcaffe_1_1SPPLayer.html#a4cde4ff418007bcbdd34f91c6abbea1f">pooling_layers_</a>;</div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a4bddcb27cbc0e9e2d153d134d5f9d760">   59</a></span>&#160;  vector&lt;vector&lt;Blob&lt;Dtype&gt;*&gt;*&gt; <a class="code" href="classcaffe_1_1SPPLayer.html#a4bddcb27cbc0e9e2d153d134d5f9d760">pooling_top_vecs_</a>;</div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#aed09b8f30c285651c726ac7ca186f93f">   61</a></span>&#160;  vector&lt;Blob&lt;Dtype&gt;*&gt; <a class="code" href="classcaffe_1_1SPPLayer.html#aed09b8f30c285651c726ac7ca186f93f">pooling_outputs_</a>;</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a765c32194d96177869e2b9028b1ff0d4">   63</a></span>&#160;  vector&lt;FlattenLayer&lt;Dtype&gt;*&gt; <a class="code" href="classcaffe_1_1SPPLayer.html#a765c32194d96177869e2b9028b1ff0d4">flatten_layers_</a>;</div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a7460ba8ed098335de91cd8cab363d365">   65</a></span>&#160;  vector&lt;vector&lt;Blob&lt;Dtype&gt;*&gt;*&gt; <a class="code" href="classcaffe_1_1SPPLayer.html#a7460ba8ed098335de91cd8cab363d365">flatten_top_vecs_</a>;</div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#afd42f96c91f26fe32427865a16796503">   67</a></span>&#160;  vector&lt;Blob&lt;Dtype&gt;*&gt; <a class="code" href="classcaffe_1_1SPPLayer.html#afd42f96c91f26fe32427865a16796503">flatten_outputs_</a>;</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a2874ca5b0c4d8f7d970c5a30768d2bc0">   69</a></span>&#160;  vector&lt;Blob&lt;Dtype&gt;*&gt; <a class="code" href="classcaffe_1_1SPPLayer.html#a2874ca5b0c4d8f7d970c5a30768d2bc0">concat_bottom_vec_</a>;</div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classcaffe_1_1SPPLayer.html#a02a9d50a48983fa0c6e42cafa85c1eb8">   71</a></span>&#160;  shared_ptr&lt;ConcatLayer&lt;Dtype&gt; &gt; <a class="code" href="classcaffe_1_1SPPLayer.html#a02a9d50a48983fa0c6e42cafa85c1eb8">concat_layer_</a>;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;};</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;}  <span class="comment">// namespace caffe</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="preprocessor">#endif  // CAFFE_SPP_LAYER_HPP_</span></div><div class="ttc" id="classcaffe_1_1Layer_html"><div class="ttname"><a href="classcaffe_1_1Layer.html">caffe::Layer</a></div><div class="ttdoc">An interface for the units of computation which can be composed into a Net. </div><div class="ttdef"><b>Definition:</b> layer.hpp:33</div></div>
<div class="ttc" id="namespacecaffe_html"><div class="ttname"><a href="namespacecaffe.html">caffe</a></div><div class="ttdoc">A layer factory that allows one to register layers. During runtime, registered layers can be called b...</div><div class="ttdef"><b>Definition:</b> blob.hpp:14</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a0ad4bf01671eec91fc6fa9732f721555"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a0ad4bf01671eec91fc6fa9732f721555">caffe::SPPLayer::Backward_cpu</a></div><div class="ttdeci">virtual void Backward_cpu(const vector&lt; Blob&lt; Dtype &gt; *&gt; &amp;top, const vector&lt; bool &gt; &amp;propagate_down, const vector&lt; Blob&lt; Dtype &gt; *&gt; &amp;bottom)</div><div class="ttdoc">Using the CPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...</div><div class="ttdef"><b>Definition:</b> spp_layer.cpp:205</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a4cde4ff418007bcbdd34f91c6abbea1f"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a4cde4ff418007bcbdd34f91c6abbea1f">caffe::SPPLayer::pooling_layers_</a></div><div class="ttdeci">vector&lt; shared_ptr&lt; PoolingLayer&lt; Dtype &gt; &gt; &gt; pooling_layers_</div><div class="ttdoc">the internal Pooling layers of different kernel sizes </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:57</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a8012e099ec860c310a3b9e64c365b872"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a8012e099ec860c310a3b9e64c365b872">caffe::SPPLayer::Forward_cpu</a></div><div class="ttdeci">virtual void Forward_cpu(const vector&lt; Blob&lt; Dtype &gt; *&gt; &amp;bottom, const vector&lt; Blob&lt; Dtype &gt; *&gt; &amp;top)</div><div class="ttdoc">Using the CPU device, compute the layer output. </div><div class="ttdef"><b>Definition:</b> spp_layer.cpp:188</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a7460ba8ed098335de91cd8cab363d365"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a7460ba8ed098335de91cd8cab363d365">caffe::SPPLayer::flatten_top_vecs_</a></div><div class="ttdeci">vector&lt; vector&lt; Blob&lt; Dtype &gt; * &gt; * &gt; flatten_top_vecs_</div><div class="ttdoc">top vector holders used in call to the underlying FlattenLayer::Forward </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:65</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a4bddcb27cbc0e9e2d153d134d5f9d760"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a4bddcb27cbc0e9e2d153d134d5f9d760">caffe::SPPLayer::pooling_top_vecs_</a></div><div class="ttdeci">vector&lt; vector&lt; Blob&lt; Dtype &gt; * &gt; * &gt; pooling_top_vecs_</div><div class="ttdoc">top vector holders used in call to the underlying PoolingLayer::Forward </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:59</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_aa4c2a009d84367e72b98b3b8542e3a0f"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#aa4c2a009d84367e72b98b3b8542e3a0f">caffe::SPPLayer::split_top_vec_</a></div><div class="ttdeci">vector&lt; Blob&lt; Dtype &gt; * &gt; split_top_vec_</div><div class="ttdoc">top vector holder used in call to the underlying SplitLayer::Forward </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:53</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html">caffe::SPPLayer</a></div><div class="ttdoc">Does spatial pyramid pooling on the input image by taking the max, average, etc. within regions so th...</div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:19</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_aafd1daca2ac42380582cad761bc6d57b"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#aafd1daca2ac42380582cad761bc6d57b">caffe::SPPLayer::type</a></div><div class="ttdeci">virtual const char * type() const</div><div class="ttdoc">Returns the layer type. </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:28</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a2c9e8e5e918431ccc43e8578419357c9"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a2c9e8e5e918431ccc43e8578419357c9">caffe::SPPLayer::pooling_bottom_vecs_</a></div><div class="ttdeci">vector&lt; vector&lt; Blob&lt; Dtype &gt; * &gt; * &gt; pooling_bottom_vecs_</div><div class="ttdoc">bottom vector holder used in call to the underlying PoolingLayer::Forward </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:55</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a2874ca5b0c4d8f7d970c5a30768d2bc0"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a2874ca5b0c4d8f7d970c5a30768d2bc0">caffe::SPPLayer::concat_bottom_vec_</a></div><div class="ttdeci">vector&lt; Blob&lt; Dtype &gt; * &gt; concat_bottom_vec_</div><div class="ttdoc">bottom vector holder used in call to the underlying ConcatLayer::Forward </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:69</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a765c32194d96177869e2b9028b1ff0d4"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a765c32194d96177869e2b9028b1ff0d4">caffe::SPPLayer::flatten_layers_</a></div><div class="ttdeci">vector&lt; FlattenLayer&lt; Dtype &gt; * &gt; flatten_layers_</div><div class="ttdoc">the internal Flatten layers that the Pooling layers feed into </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:63</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_afd42f96c91f26fe32427865a16796503"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#afd42f96c91f26fe32427865a16796503">caffe::SPPLayer::flatten_outputs_</a></div><div class="ttdeci">vector&lt; Blob&lt; Dtype &gt; * &gt; flatten_outputs_</div><div class="ttdoc">flatten_outputs stores the outputs of the FlattenLayers </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:67</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a7241f9c4dfba841bc76a93298a3d28ee"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a7241f9c4dfba841bc76a93298a3d28ee">caffe::SPPLayer::LayerSetUp</a></div><div class="ttdeci">virtual void LayerSetUp(const vector&lt; Blob&lt; Dtype &gt; *&gt; &amp;bottom, const vector&lt; Blob&lt; Dtype &gt; *&gt; &amp;top)</div><div class="ttdoc">Does layer-specific setup: your layer should implement this function as well as Reshape. </div><div class="ttdef"><b>Definition:</b> spp_layer.cpp:65</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a3ba65e459c1bde4f772d545efb43a2f2"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a3ba65e459c1bde4f772d545efb43a2f2">caffe::SPPLayer::Reshape</a></div><div class="ttdeci">virtual void Reshape(const vector&lt; Blob&lt; Dtype &gt; *&gt; &amp;bottom, const vector&lt; Blob&lt; Dtype &gt; *&gt; &amp;top)</div><div class="ttdoc">Adjust the shapes of top blobs and internal buffers to accommodate the shapes of the bottom blobs...</div><div class="ttdef"><b>Definition:</b> spp_layer.cpp:146</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a345f640e6c1d3e9ee929d706b68300e9"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a345f640e6c1d3e9ee929d706b68300e9">caffe::SPPLayer::ExactNumTopBlobs</a></div><div class="ttdeci">virtual int ExactNumTopBlobs() const</div><div class="ttdoc">Returns the exact number of top blobs required by the layer, or -1 if no exact number is required...</div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:30</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a02a9d50a48983fa0c6e42cafa85c1eb8"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a02a9d50a48983fa0c6e42cafa85c1eb8">caffe::SPPLayer::concat_layer_</a></div><div class="ttdeci">shared_ptr&lt; ConcatLayer&lt; Dtype &gt; &gt; concat_layer_</div><div class="ttdoc">the internal Concat layers that the Flatten layers feed into </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:71</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a9312cb2eb190ce25d9269d9319cf5e4b"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a9312cb2eb190ce25d9269d9319cf5e4b">caffe::SPPLayer::split_layer_</a></div><div class="ttdeci">shared_ptr&lt; SplitLayer&lt; Dtype &gt; &gt; split_layer_</div><div class="ttdoc">the internal Split layer that feeds the pooling layers </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:51</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_a0fcc7996823cba1a468e82b3f9058ff0"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#a0fcc7996823cba1a468e82b3f9058ff0">caffe::SPPLayer::ExactNumBottomBlobs</a></div><div class="ttdeci">virtual int ExactNumBottomBlobs() const</div><div class="ttdoc">Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required...</div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:29</div></div>
<div class="ttc" id="classcaffe_1_1SPPLayer_html_aed09b8f30c285651c726ac7ca186f93f"><div class="ttname"><a href="classcaffe_1_1SPPLayer.html#aed09b8f30c285651c726ac7ca186f93f">caffe::SPPLayer::pooling_outputs_</a></div><div class="ttdeci">vector&lt; Blob&lt; Dtype &gt; * &gt; pooling_outputs_</div><div class="ttdoc">pooling_outputs stores the outputs of the PoolingLayers </div><div class="ttdef"><b>Definition:</b> spp_layer.hpp:61</div></div>
<div class="ttc" id="classcaffe_1_1Blob_html"><div class="ttname"><a href="classcaffe_1_1Blob.html">caffe::Blob</a></div><div class="ttdoc">A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...</div><div class="ttdef"><b>Definition:</b> blob.hpp:24</div></div>
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